remote
AI/ML Engineer - Logic, Inc.
ML Engineer
Develop and deploy AI/ML models for client projects, leveraging Python, TensorFlow/PyTorch, and cloud services to deliver data‑driven solutions that drive business transformation.
About the role
Key Responsibilities
- Design, build, and optimize machine‑learning models and pipelines for client‑specific use cases.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications.
- Implement and fine‑tune deep‑learning architectures using TensorFlow or PyTorch.
- Deploy models to cloud environments (AWS) and ensure scalability, reliability, and performance.
- Conduct data preprocessing, feature engineering, and model validation to maintain high accuracy.
- Provide technical guidance and mentorship to junior engineers and contribute to best‑practice documentation.
Requirements
- Bachelor’s or higher in Computer Science, Engineering, or related field with 3+ years of hands‑on AI/ML experience.
- Proficiency in Python and major ML libraries such as TensorFlow, PyTorch, scikit‑learn.
- Experience deploying models on AWS services (SageMaker, EC2, Lambda) and managing cloud resources.
- Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
- Excellent problem‑solving skills and ability to work in fast‑paced, client‑focused environments.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws